Question

I am a bit lost, this looks like some silly mistake – but I have no clue what that can be. Here is the test session:

mysql> drop table articles;
Query OK, 0 rows affected (0.02 sec)

mysql> CREATE TABLE articles (body TEXT, title VARCHAR(250), id INT NOT NULL auto_increment, PRIMARY KEY(id)) ENGINE = MYISAM;
Query OK, 0 rows affected (0.02 sec)

mysql> ALTER TABLE articles ADD FULLTEXT(body, title);
Query OK, 0 rows affected (0.02 sec)
Records: 0  Duplicates: 0  Warnings: 0

mysql> insert into articles(body) values ('Maya');
Query OK, 1 row affected (0.00 sec)

mysql> SELECT * FROM articles  WHERE MATCH(title, body) AGAINST('Maya');
Empty set (0.00 sec)

mysql> select * from articles
    -> ;
+------+-------+----+
| body | title | id |
+------+-------+----+
| Maya | NULL  |  1 |
+------+-------+----+
1 row in set (0.00 sec)

This is on “mysqld Ver 5.1.37-1ubuntu5 for debian-linux-gnu on i486 ((Ubuntu))”.

Here is the script for simple cut and paste (please try it and verify if it works on your system):

CREATE TABLE articles (body TEXT, title VARCHAR(250), id INT NOT NULL auto_increment, PRIMARY KEY(id)) ENGINE = MYISAM;
ALTER TABLE articles ADD FULLTEXT(body, title);
insert into articles(body) values ('Maya');
SELECT * FROM articles  WHERE MATCH(title, body) AGAINST('Maya');     

Answer 1

In MySQL there are three types of full-text searches:

• boolean search
• natural language search (used by default)
• query expansion search

From MySQL manual entry:

A natural language search interprets
the search string as a phrase in
natural human language (a phrase in
free text). There are no special
operators. The stopword list applies.
In addition, words that are present
in 50% or more of the rows are
considered common and do not match.
Full-text searches are natural
language searches if the IN NATURAL
LANGUAGE MODE modifier is given or if
no modifier is given.

For example, try to add two more records:

INSERT INTO articles(body) VALUES ('Some text'), ('Another text');

And run the same SELECT again – it will work.

As a workaround, you can use boolean mode, which doesn’t have this “50%” rule:

SELECT * FROM articles  WHERE MATCH(title, body) AGAINST('Maya' IN BOOLEAN MODE);